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from typing import TYPE_CHECKING |
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from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available |
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_import_structure = {"configuration_cvt": ["CVT_PRETRAINED_CONFIG_ARCHIVE_MAP", "CvtConfig"]} |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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_import_structure["modeling_cvt"] = [ |
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"CVT_PRETRAINED_MODEL_ARCHIVE_LIST", |
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"CvtForImageClassification", |
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"CvtModel", |
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"CvtPreTrainedModel", |
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] |
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try: |
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if not is_tf_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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_import_structure["modeling_tf_cvt"] = [ |
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"TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST", |
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"TFCvtForImageClassification", |
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"TFCvtModel", |
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"TFCvtPreTrainedModel", |
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] |
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if TYPE_CHECKING: |
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from .configuration_cvt import CVT_PRETRAINED_CONFIG_ARCHIVE_MAP, CvtConfig |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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from .modeling_cvt import ( |
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CVT_PRETRAINED_MODEL_ARCHIVE_LIST, |
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CvtForImageClassification, |
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CvtModel, |
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CvtPreTrainedModel, |
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) |
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try: |
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if not is_tf_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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from .modeling_tf_cvt import ( |
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TF_CVT_PRETRAINED_MODEL_ARCHIVE_LIST, |
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TFCvtForImageClassification, |
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TFCvtModel, |
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TFCvtPreTrainedModel, |
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) |
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else: |
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import sys |
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sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) |
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